Geert Geeven
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics and Chromatin Dynamics 16
- RNA Research and Splicing 8
- Epigenetics and DNA Methylation 3
- RNA modifications and cancer 3
- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 3
-
- Chromosomal and Genetic Variations 7
- Co-authors
- Wouter de Laat (12 shared papers)Peter H.L. Krijger (4 shared papers)Wouter de Laat (6 shared papers)Valerio Bianchi (4 shared papers)Hans Teunissen (3 shared papers)Elzo de Wit (3 shared papers)Marjon J.A.M. Verstegen (5 shared papers)Patrick J. Wijchers (5 shared papers)
- Journals
- Nature Communications (2 papers)Cell Reports (2 papers)Molecular Cell (2 papers)Genome biology (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Geert Geeven
25 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 1.0k
- Cancer Research 190
- Cell Biology 169
- Space and Planetary Science 10
- Developmental Neuroscience 29
Countries citing papers authored by Geert Geeven
This map shows the geographic impact of Geert Geeven's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Geert Geeven with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geert Geeven more than expected).
Fields of papers citing papers by Geert Geeven
This network shows the impact of papers produced by Geert Geeven. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Geert Geeven. The network helps show where Geert Geeven may publish in the future.
Co-authors
The 25 scholars most cited alongside Geert Geeven, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 201 | |
| 2 | 2018 | 162 | |
| 3 | 2015 | 138 | |
| 4 | 2019 | 118 | |
| 5 | 2016 | 86 | |
| 6 | 2016 | 69 | |
| 7 | 2015 | 60 | |
| 8 | 2014 | 59 | |
| 9 | 2018 | 48 | |
| 10 | 2015 | 46 | |
| 11 | 2016 | 33 | |
| 12 | 2011 | 32 | |
| 13 | 2020 | 30 | |
| 14 | 2020 | 29 | |
| 15 | 2016 | 22 | |
| 16 | 2011 | 18 | |
| 17 | 2011 | 15 | |
| 18 | 2020 | 14 | |
| 19 | 2024 | 11 | |
| 20 | 2024 | 8 |
About Geert Geeven
Geert Geeven is a scholar working on Molecular Biology, Plant Science, Cancer Research, Genetics and Genetics, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (16 papers), RNA Research and Splicing (8 papers), Chromosomal and Genetic Variations (7 papers), Epigenetics and DNA Methylation (3 papers), RNA modifications and cancer (3 papers), Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (3 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Cancer Research (190 citations), Cell Biology (169 citations), Space and Planetary Science (10 citations) and Developmental Neuroscience (29 citations). Geert Geeven has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Wouter de Laat, Peter H.L. Krijger, Wouter de Laat, Valerio Bianchi, Hans Teunissen, Elzo de Wit, Marjon J.A.M. Verstegen, Patrick J. Wijchers, Christian Valdes‐Quezada and Catharina R.E. Hilvering. Their work appears in journals such as Nature Communications, Cell Reports, Molecular Cell, Genome biology and Nucleic Acids Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.